{"url":"/dataset/iu-x-ray","name":"IU X-Ray","full_name":null,"description_markdown":"IU X-ray (Demner-Fushman et al., 2016) is a set of chest X-ray images paired with their corresponding diagnostic reports. The dataset contains 7,470 pairs of images and reports. A simplified version of *IU X-Ray* through **CPIR-MR** prompting was presented at AAAI 2025: [AAAI Article Link](https://ojs.aaai.org/index.php/AAAI/article/view/35281). Dataset Link: [SMR IU X-Ray](https://paperswithcode.com/dataset/smr-iu-x-ray).","description_withheld":null,"homepage":"","introduced_date":"2019-05-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/190513302","title":"A Survey on Biomedical Image Captioning","first_author":"Vasiliki Kougia","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Captioning","url":"/task/image-captioning","datasets_with_task":"/datasets/task/image-captioning"},{"name":"Medical Report Generation","url":"/task/medical-report-generation","datasets_with_task":"/datasets/task/medical-report-generation"}],"languages":[],"variants":["IU X-Ray"],"data_loaders":[{"repo":"https://github.com/zhjohnchan/R2GenCMN","url":"https://github.com/zhjohnchan/R2GenCMN","frameworks":["pytorch"]},{"repo":"https://github.com/Thecoder1012/CPIR-MR","url":"https://github.com/Thecoder1012/CPIR-MR/blob/main/dataset/IU%20XRay%20SMR.xlsx","frameworks":["pytorch"]}],"num_papers_in_archive":19,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-captioning-on-iu-x-ray","task":"Image Captioning","dataset_variant":"IU X-Ray","rows":1,"metrics":["CIDEr"],"first_row_in_archive_order":{"model":"BiomedGPT","paper":"/paper/biomedgpt-a-unified-and-generalist-biomedical","metrics":{"CIDEr":"36.0"},"code_links":[{"title":"taokz/biomedgpt","url":"https://github.com/taokz/biomedgpt"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/medical-report-generation-on-iu-x-ray","task":"Medical Report Generation","dataset_variant":"IU X-Ray","rows":1,"metrics":["BLEU-4","BLEU-1","BLEU-2","BLEU-3","CIDEr","METEOR","ROUGE"],"first_row_in_archive_order":{"model":"X-RGen","paper":"/paper/s4m-generating-radiology-reports-by-a-single","metrics":{"BLEU-1":"0.466","BLEU-2":"0.306","BLEU-3":"0.225","BLEU-4":"0.177","CIDEr":"0.602","METEOR":"0.199","ROUGE":"0.367"},"code_links":[{"title":"ytongxie/x-rgen","url":"https://github.com/ytongxie/x-rgen"},{"title":"ytongxie/s4m","url":"https://github.com/ytongxie/s4m"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/s4m-generating-radiology-reports-by-a-single","title":"Act Like a Radiologist: Radiology Report Generation across Anatomical Regions","date":"2023-05-26","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/biomedgpt-a-unified-and-generalist-biomedical","title":"BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks","date":"2023-05-26","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":1,"samples_unverified":7,"pointer_only_for_licence":7,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":8,"samples_ran":1,"samples_unverified":7,"pointer_only_for_licence":7,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}